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All Journal Journal of Applied Science, Engineering, Technology, and Education International Journal of Technology and Education Research
Djawad, Yasser Abd.
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Other

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Design of Quantized Deep Neural Network Hardware Inference Accelerator Using Systolic Architecture Rifqie, Dary Mochamad; Djawad, Yasser Abd.; Samman, Faizal Arya; Ahmar, Ansari Saleh; Fakhri, M. Miftach
Journal of Applied Science, Engineering, Technology, and Education Vol. 6 No. 1 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci2689

Abstract

This paper presents a hardware inference accelerator architecture of quantized deep neural networks (DNN). The proposed accelerator implements all computation in a quantize version of DNN including linear transformations like matrix multiplications, nonlinear activation functions such as ReLU, quantization and dequantization operation. The hardware accelerator of quantized DNN consists of matrix multiplication core which is implemented in systolic array architecture, and the QDR core for computing the operation of quantization, dequantization, and ReLU. This proposed hardware architecture is implemented in Verilog Hardware Description Language (HDL) code using modelsim. To validate, we simulated the quantized DNN using Python programming language and compared the results with our proposed hardware accelerator. The result of this comparison shows a very slight difference, confirming the validity of our quantized DNN hardware accelerator.
Entrepreneurial Readiness among University Students: Implications for Higher Education Development Suhaeb, Sutarsi; Djawad, Yasser Abd.; Sabara, Edy
International Journal of Technology and Education Research Vol. 3 No. 03 (2025): July - September, International Journal of Technology and Education Research (
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v3i03.2160

Abstract

This study aims to analyze the level of entrepreneurial readiness among university students, focusing on key indicators such as entrepreneurial motivation, knowledge, managerial skills, organizational or work experience, and environmental support. The research employed a quantitative approach with a descriptive research design to provide an objective and measurable overview of students’ readiness for entrepreneurship. The population consisted of all active students at the selected university, and a sample of 275 students was obtained using proportional random sampling. Data were collected using a structured, closed-ended questionnaire with a five-point Likert scale. The results revealed that the majority of students demonstrated a high level of entrepreneurial readiness, with 79.27% in the high category and 4.73% in the very high category, while 16.00% were in the moderate category. No respondents fell into the low or very low categories, indicating that all students possessed at least a moderate level of readiness. These findings suggest that students generally have adequate motivation, knowledge, skills, and environmental support to initiate entrepreneurial activities. The high readiness levels may also reflect the effectiveness of entrepreneurship education programs implemented by higher education institutions. Nevertheless, the presence of students in the moderate category indicates a need for further development, particularly in enhancing practical experience, risk-taking ability, and direct business exposure. Therefore, targeted interventions such as mentoring, practice-based entrepreneurship training, and business network expansion are recommended to elevate students’ readiness to a higher level.
Co-Authors Ahmar, Ansari Saleh Dary Mochamad Rifqie Edy Sabara Faizal Arya Samman M. Miftach Fakhri suhaeb, Sutarsi